A Stochastic Approach to Wilson's Editing Algorithm


Two extensions of the original Wilson’s editing method are introduced in this paper. These new algorithms are based on estimating probabilities from the k-nearest neighbor patterns of an instance, in order to obtain more compact edited sets while maintaining the classification rate. Several experiments with synthetic and real data sets are carried out to… (More)
DOI: 10.1007/11492542_5

3 Figures and Tables



Citations per Year

69 Citations

Semantic Scholar estimates that this publication has 69 citations based on the available data.

See our FAQ for additional information.

  • Presentations referencing similar topics